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Supercritical CO2 Power Cycles September 9-10, 2014, Pittsburgh, Pennsylvania

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Supercritical CO2 Power Cycles September 9-10, 2014, Pittsburgh, Pennsylvania The 4th International Symposium - Supercritical CO2 Power Cycles September 9-10, 2014, Pittsburgh, Pennsylvania PROGRESS TOWARD NEW REFERENCE CORRELATIONS FOR THE TRANSPORT PROPERTIES OF CARBON DIOXIDE Allan H. Harvey Marcia L. Huber Applied Chemicals and Materials Division Applied Chemicals and Materials Division National Institute of Standards and Technology National Institute of Standards and Technology Boulder, CO 80305, USA Boulder, CO 80305, USA [email protected] Arno Laesecke Chris D. Muzny Applied Chemicals and Materials Division Applied Chemicals and Materials Division National Institute of Standards and Technology National Institute of Standards and Technology Boulder, CO 80305, USA Boulder, CO 80305, USA Richard A. Perkins Applied Chemicals and Materials Division National Institute of Standards and Technology Boulder, CO 80305, USA Allan Harvey is a chemical engineer in the Theory and Modeling of Fluids group at NIST. He received a B.S. in Chemical Engineering from the University of Missouri-Rolla and a Ph.D. in Chemical Engineering from the University of California-Berkeley. Marcia Huber is Group Leader for the Theory and Modeling of Fluids group at NIST. She received a B.S. in Chemical Engineering from the University of Pittsburgh and a Ph.D. in Chemical Engineering from the Colorado School of Mines. Arno Laesecke is a chemical engineer in the Experimental Properties of Fluids group at NIST. He received a Diploma and Doctorate in Chemical Engineering, both from the University of Stuttgart, Germany. Chris Muzny is a physicist in the Thermodynamics Research Center at NIST. He received a B.S. in Physics and Math from Southeastern Oklahoma State University and a Ph.D. in Physics from the University of Colorado. Richard Perkins is a chemical engineer in the Experimental Properties of Fluids group at NIST. He received a B.S. and Ph.D. in Chemical and Petroleum Refining Engineering, both from the Colorado School of Mines. ABSTRACT While the thermodynamic properties of CO2 are available with excellent accuracy from the reference- quality equation of state of Span and Wagner, the current reference correlations for transport properties (thermal conductivity and viscosity) are relatively old and have significant room for improvement. We describe current work at NIST to improve the data situation for both transport properties. For the viscosity, new theoretical results for the dilute vapor and a semitheoretical scaling approach for the liquid allow us to produce an improved correlation. In the case of the thermal conductivity, we measured new data with a transient hot-wire instrument. These measurements cover temperatures from 219 K to 751 K at pressures up to 69 MPa, with uncertainties near 0.5 % for the liquid and compressed gas, increasing to 3 % for low-pressure gases and conditions very near the critical point. This improves the uncertainty at most conditions by more than a factor of two compared to previous measurements. These new data, in combination with literature data and theoretical results for the dilute gas, are being employed to produce a new standard correlation for the thermal conductivity as a function of temperature and density. The new correlation will employ state-of-the-art theory to incorporate the near-critical enhancement of the thermal conductivity that is significant in a sizable region around the critical point. 1 INTRODUCTION The thermophysical properties of the working fluid are essential for design, analysis, and optimization of any power cycle. While the thermodynamic properties (vapor pressure, enthalpy, density, etc.) are usually the most important, the transport properties (thermal conductivity and viscosity) are also important for understanding the heat-transfer and fluid-flow aspects of the system. In the case of carbon dioxide (CO2), the existing reference correlations for transport properties, as used for example in NIST’s REFPROP software (Lemmon et al., 2013), are based on work that is now about 25 years old (Vesovic et al., 1990) and that has significant room for improvement. NIST therefore undertook a project to produce state-of-the-art correlations for the thermal conductivity and viscosity of CO2. In the case of the thermal conductivity, this also involved measuring new experimental data over a wide range of subcritical and supercritical conditions. In this paper, we first review the state of the art for the thermodynamic properties of CO2, which also play a role in the transport correlations. We then describe our new thermal conductivity measurements, progress toward a new thermal conductivity correlation, and progress toward a new viscosity correlation. THERMODYNAMIC PROPERTIES Thermodynamic properties of fluids are typically described with an equation of state (EOS). While in the last century it was common to use simple pressure-explicit cubic EOS such as the van der Waals or Peng-Robinson equations, these forms are inadequate for highly accurate description of fluid properties. Modern EOS are typically written in the form of a fundamental equation for the Helmholtz energy as a function of temperature and density. Differentiation and other straightforward manipulations allow calculation of all thermodynamic properties (vapor pressure, enthalpy, density, heat capacity, sound speed, etc.) in a mutually consistent manner. While modern Helmholtz EOS are subject to some theoretical constraints, they typically include many parameters that are adjusted to experimental data. For well-studied fluids like CO2, sufficient data exist to produce an EOS that, while more complicated than simple cubic EOS, represents the fluid properties with much greater accuracy. The thermodynamic properties are important not only in their own right, but also for their role in transport properties. For both theoretical and practical reasons, transport properties are correlated as a function of temperature and density. Since experimental data are almost always measured as a function of temperature and pressure, an EOS is needed to obtain the density corresponding to each point; any error in the EOS will distort the correlation. In addition, the transport properties (especially the thermal conductivity) exhibit divergence near the critical point. Correct description of this region requires some thermodynamic quantities (such as the heat capacity and the isothermal compressibility) for calculation of the critical enhancement. The existing reference correlations for CO2 transport properties were developed with the EOS of Ely et al. (1987). While this EOS was fairly accurate, a significant improvement was achieved with the EOS of Span and Wagner (1996). Span and Wagner used an approach that optimized the functional form of the EOS while fitting to the data, achieving uncertainties similar to those of the best experimental data. Comparison with data shows that, depending on the property and region considered, the Span-Wagner EOS is more accurate than the EOS of Ely et al. by up to a factor of 10; it also represents properties near the critical point much more accurately. This greatly improved accuracy is another reason to revisit the CO2 transport property correlations in order to produce new correlations that are consistent with the Span-Wagner EOS. The EOS of Span and Wagner (1996) is recommended at pressures up to 800 MPa (approximately 116 000 psia) and temperatures up to 1100 K (1520 °F). It was designed to extrapolate in a physically reasonable manner to both higher temperatures and pressures, so it should provide benchmark values for any conditions that would be encountered in supercritical CO2 power cycles. Because of its many terms, the Span-Wagner EOS may not be convenient to use for computationally intensive applications, such as computational fluid dynamics. In such cases, the best approach may be to use a spline-based table lookup method with splines pre-calculated on an appropriate grid from the EOS. Such an approach has recently been developed for water and steam (Kunick et al., 2014). 2 THERMAL CONDUCTIVITY The thermal conductivity of CO2 has been measured with a variety of transient and steady-state techniques. The thermal conductivity, , can also be estimated from measurements of thermal diffusivity, a, at temperatures and pressures where the density, , and isobaric specific heat, Cp, are well known, through the expression = aCp. A thorough analysis of the thermal conductivity data of CO2 was given by Vesovic et al. (1990), who assessed the reliability of each data source and designated the most reliable data sets as primary; these sets were used during the development of their thermal conductivity correlation. The less reliable data sets were designated as secondary; these data sets provided useful comparisons with the correlation at conditions where more reliable primary data sets were not available. The thermal conductivity was correlated as a function of temperature, T, and density, , which is typically calculated with an accurate EOS at the temperature and pressure, p, of the measured thermal conductivity. The 1990 work used the EOS of Ely et al. (1987) for this purpose. Vesovic et al. (1990) designated 10 data sets as primary for the thermal conductivity of the dilute gas. Only six of these primary data sets had an uncertainty of 1 % or less, covering a temperature region from 285 K to 470 K. The low-temperature region from 186 K to 285 K was covered by four primary data sets with an uncertainty of 5 %. Theoretical predictions supplemented the available primary data with uncertainties of 5 %. At higher densities, Vesovic et al. designated five data sets as primary with uncertainties of 1.5 % or less that covered the temperature region from 298 K to 470 K with pressures up to 30 MPa and also included an additional data set with 5 % uncertainty that covered the high- temperature region up to 724 K with pressures up to 100 MPa. Thus, the uncertainty of the data sets used in the 1990 correlation is 5 % at temperatures below 285 K and above 470 K. At pressures above 30 MPa, the uncertainty again increases to 5 %, even at temperatures from 285 K to 470 K.
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